Automatic target recognition (ATR) for military applications is one of the core processes
toward enhancing intelligence and autonomously operating military platforms. Spurred by …

Not only were traditional artificial neural networks and machine learning difficult to meet the
processing needs of massive images in feature extraction and model training but also they …

We propose a multimodal and multidiscipline data fusion strategy appropriate for automatic
target recognition (ATR) on synthetic aperture radar imagery. Our architecture fuses a …

自动目标识别(ATR) 是一个汇集模式识别, 人工智能, 信息处理等多学科融合发展的技术领域,
ATR 评价则是将ATR 算法/系统等作为研究对象的评价行为. 由于ATR 算法/系统面临目标非 …

The 3-D automatic target recognition (ATR) has many advantages over its 2-D counterpart,
but there are several constraints in the context of small low-cost unmanned aerial vehicles …

The missile-borne LiDAR has an essential prospect in precise guidance. However, the
instability of the missile has a significant impact on the precision of LIDAR point cloud, thus …

Driven by the great success of deep convolutional neural networks (CNNs) that are currently
used by quite a few computer vision applications, we extend the usability of visual-based …

Current light detection and ranging (LIDAR) based odometry solutions that are used for
spacecraft relative navigation suffer from quite a few deficiencies. These include an off‐line …

Airborne LIDAR can flexibly obtain point cloud data with three-dimensional structural
information, which can improve its effectiveness of automatic target recognition in the …

Image classification is the process of identification and classification of an input image or
visual from a predetermined set of labeled images. This work comes under computer vision …